nhl-data
There are 23 repositories under nhl-data topic.
danmorse314/hockeyR
Collect and Clean Hockey Stats
coreyjs/nhl-api-py
NHL API (2024 Updated) - For accessing most of the NHL EDGE statistical API's, scores, schedules and more
Afischbacher/Nhl.Api
The Official Unofficial .NET NHL API
Neil-Paine-1/NHL-Player-And-Team-Ratings
Goals Above Replacement and Elo Rating data for NHL history.
justinjjlee/NHL-Analytics
Data science analyses delving into National Hockey League (NHL) ice hockey statistics
vineyardbovines/nhl-api
NHL data and utilities to work with it
adamcyber1/hockeydata
A library and CLI tool for scraping NHL data.
jplecavalier/tidynhl
An R package making it easy to extract NHL data in a tidy format
RyanSchraeder/StanleyCupPredictions
Predicting Stanley Cup outcomes using regular season game statistics, team statistics, and historical outcomes.
lakenrivet/nhl-ticket-sales-promotions
A ticket sales and game day promotional analysis across the NHL and for the Detroit Red Wings with the creation of a linear regression model to predict fan attendance.
TonyAllenPrice/nhldata
Python Package for accessing various sources of NHL stats (NHL, MoneyPuck, etc.)
AAZZAZRON/TradeTracker
A Discord bot that scrapes Sportsnet to find the most recent NHL trades and signings.
Adryene/NHLDraftFirstPicks
NHL Draft First Picks Data Analysis for 1963 - 2023
habsgirl19/NHL_Stats_Zone
Playing with the numbers for NHL stats
jakearmijo/todays-tilts
A visual of all scheduled games for that night. Features include real-time play by play, score, stats, and more!
jakub-h/nhl-predict
NHL games predictor
JNoel71/NHL-Expected-Goals-xG-Model
An NHL expected goals (xG) model built with light gradient boosting.
lakenrivet/nhl-clusters-and-roster-optimization
A k-means clustering analysis performed on NHL player's seasonal stats and a constrained optimization used to build an ideal roster for the Detroit Red Wing's upcoming season.
lakenrivet/nhl-team-player-valuation
A valuation of team and player performance for the Detroit Red Wings utilizing league-wide comparison, cash flow analyses, and constrained optimization.
melissamonroe/nhl-machine-learning
20 years of NHL data was used to determine player position based on machine learning models. Machine learning models were built using the average summary of statistics across multiple features (goals, assists, shots, etc.). The machine learning models predict the actual primary position of the player with an average accuracy of 85%.
pddiii/2024-NHL-Standings
Predicting the 2024 Stanley Cup champion using machine learning.
pucksmart/pucksmart-py
Data processing code for hockey analytics
feelingsunny/NHL_ETL
Extract Transform and Load Dataset.